Difference between revisions of "Expert Political Judgment"
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Tetlock co-authored the 2016 book ''[[Superforecasting: The Art and Science of Prediction]]''. Jason Zweig wrote about the book Superforcasting in the [[Wall Street Journal]]: “The most important book on decision making since Daniel Kahneman's Thinking, Fast and Slow.”<ref>Zweig, Jason. "[https://blogs.wsj.com/moneybeat/2015/09/25/can-you-see-the-future-probably-better-than-professional-forecasters/ Can You See the Future? Probably Better Than Professional Forecasters]". The Wall Street Journal. Retrieved September 25, 2015. I think Philip Tetlock's "Superforecasting: The Art and Science of Prediction," ..., is the most important book on decision making since Daniel Kahneman's "Thinking, Fast and Slow."</ref> The ''Harvard Business Review'' likened the book Superforecasting: The Art and Science of Prediction to the book How Not to Be Wrong: The Power of Mathematical Thinking by Jordan Ellenberg.<ref> Frick, Walter. "[https://hbr.org/2015/10/question-certainty Question Certainty]". Harvard Business Review. Retrieved September 26, 2015.</ref> | Tetlock co-authored the 2016 book ''[[Superforecasting: The Art and Science of Prediction]]''. Jason Zweig wrote about the book Superforcasting in the [[Wall Street Journal]]: “The most important book on decision making since Daniel Kahneman's Thinking, Fast and Slow.”<ref>Zweig, Jason. "[https://blogs.wsj.com/moneybeat/2015/09/25/can-you-see-the-future-probably-better-than-professional-forecasters/ Can You See the Future? Probably Better Than Professional Forecasters]". The Wall Street Journal. Retrieved September 25, 2015. I think Philip Tetlock's "Superforecasting: The Art and Science of Prediction," ..., is the most important book on decision making since Daniel Kahneman's "Thinking, Fast and Slow."</ref> The ''Harvard Business Review'' likened the book Superforecasting: The Art and Science of Prediction to the book How Not to Be Wrong: The Power of Mathematical Thinking by Jordan Ellenberg.<ref> Frick, Walter. "[https://hbr.org/2015/10/question-certainty Question Certainty]". Harvard Business Review. Retrieved September 26, 2015.</ref> | ||
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| + | == Book overview == | ||
| − | Since its original publication, Expert Political Judgment by New York Times bestselling author Philip Tetlock has established itself as a contemporary classic in the literature on evaluating expert opinion. | + | A summary of the book ''Expert Political Judgment: How Good Is It? How Can We Know?'' |
| + | {{Cquote|Since its original publication, Expert Political Judgment by New York Times bestselling author Philip Tetlock has established itself as a contemporary classic in the literature on evaluating expert opinion. | ||
Tetlock first discusses arguments about whether the world is too complex for people to find the tools to understand political phenomena, let alone predict the future. He evaluates predictions from experts in different fields, comparing them to predictions by well-informed laity or those based on simple extrapolation from current trends. He goes on to analyze which styles of thinking are more successful in forecasting. Classifying thinking styles using Isaiah Berlin's prototypes of the fox and the hedgehog, Tetlock contends that the fox--the thinker who knows many little things, draws from an eclectic array of traditions, and is better able to improvise in response to changing events--is more successful in predicting the future than the hedgehog, who knows one big thing, toils devotedly within one tradition, and imposes formulaic solutions on ill-defined problems. He notes a perversely inverse relationship between the best scientific indicators of good judgement and the qualities that the media most prizes in pundits--the single-minded determination required to prevail in ideological combat. | Tetlock first discusses arguments about whether the world is too complex for people to find the tools to understand political phenomena, let alone predict the future. He evaluates predictions from experts in different fields, comparing them to predictions by well-informed laity or those based on simple extrapolation from current trends. He goes on to analyze which styles of thinking are more successful in forecasting. Classifying thinking styles using Isaiah Berlin's prototypes of the fox and the hedgehog, Tetlock contends that the fox--the thinker who knows many little things, draws from an eclectic array of traditions, and is better able to improvise in response to changing events--is more successful in predicting the future than the hedgehog, who knows one big thing, toils devotedly within one tradition, and imposes formulaic solutions on ill-defined problems. He notes a perversely inverse relationship between the best scientific indicators of good judgement and the qualities that the media most prizes in pundits--the single-minded determination required to prevail in ideological combat. | ||
| − | Clearly written and impeccably researched, the book fills a huge void in the literature on evaluating expert opinion. It will appeal across many academic disciplines as well as to corporations seeking to develop standards for judging expert decision-making. Now with a new preface in which Tetlock discusses the latest research in the field, the book explores what constitutes good judgment in predicting future events and looks at why experts are often wrong in their forecasts. | + | Clearly written and impeccably researched, the book fills a huge void in the literature on evaluating expert opinion. It will appeal across many academic disciplines as well as to corporations seeking to develop standards for judging expert decision-making. Now with a new preface in which Tetlock discusses the latest research in the field, the book explores what constitutes good judgment in predicting future events and looks at why experts are often wrong in their forecasts.<ref> |
== Reviews of Expert Political Judgment: How Good Is It? How Can We Know? == | == Reviews of Expert Political Judgment: How Good Is It? How Can We Know? == | ||
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*Expert Political Judgment: How Good Is It? How Can We Know? - New Edition by Philip E. Tetlock. Princeton University Press; Revised edition (August 29, 2017) | *Expert Political Judgment: How Good Is It? How Can We Know? - New Edition by Philip E. Tetlock. Princeton University Press; Revised edition (August 29, 2017) | ||
| + | *Expert Political Judgment: How Good Is It? How Can We Know? by Philip E. Tetlock. Princeton University Press; New Ed edition (August 20, 2006) | ||
== See also == | == See also == | ||
Revision as of 08:44, February 18, 2024
Expert Political Judgment: How Good Is It? How Can We Know? is a 2005 book by Philip E. Tetlock (The newer edition of the book was published in 2017). Philip E. Tetlock is a Canadian-American political science writer, and is currently the Annenberg University Professor at the University of Pennsylvania, where he is cross-appointed at the Wharton School and the School of Arts and Sciences.
Tetlock co-authored the 2016 book Superforecasting: The Art and Science of Prediction. Jason Zweig wrote about the book Superforcasting in the Wall Street Journal: “The most important book on decision making since Daniel Kahneman's Thinking, Fast and Slow.”[1] The Harvard Business Review likened the book Superforecasting: The Art and Science of Prediction to the book How Not to Be Wrong: The Power of Mathematical Thinking by Jordan Ellenberg.[2]
Book overview
A summary of the book Expert Political Judgment: How Good Is It? How Can We Know?
| “ | Since its original publication, Expert Political Judgment by New York Times bestselling author Philip Tetlock has established itself as a contemporary classic in the literature on evaluating expert opinion.
Tetlock first discusses arguments about whether the world is too complex for people to find the tools to understand political phenomena, let alone predict the future. He evaluates predictions from experts in different fields, comparing them to predictions by well-informed laity or those based on simple extrapolation from current trends. He goes on to analyze which styles of thinking are more successful in forecasting. Classifying thinking styles using Isaiah Berlin's prototypes of the fox and the hedgehog, Tetlock contends that the fox--the thinker who knows many little things, draws from an eclectic array of traditions, and is better able to improvise in response to changing events--is more successful in predicting the future than the hedgehog, who knows one big thing, toils devotedly within one tradition, and imposes formulaic solutions on ill-defined problems. He notes a perversely inverse relationship between the best scientific indicators of good judgement and the qualities that the media most prizes in pundits--the single-minded determination required to prevail in ideological combat. Clearly written and impeccably researched, the book fills a huge void in the literature on evaluating expert opinion. It will appeal across many academic disciplines as well as to corporations seeking to develop standards for judging expert decision-making. Now with a new preface in which Tetlock discusses the latest research in the field, the book explores what constitutes good judgment in predicting future events and looks at why experts are often wrong in their forecasts.Cite error: Closing |
” |
Other book reviews
- Everybody’S an Expert:Putting predictions to the test by Louis Menand, The New Yorker, 2005
Book editions
- Expert Political Judgment: How Good Is It? How Can We Know? - New Edition by Philip E. Tetlock. Princeton University Press; Revised edition (August 29, 2017)
- Expert Political Judgment: How Good Is It? How Can We Know? by Philip E. Tetlock. Princeton University Press; New Ed edition (August 20, 2006)
See also
Notes
- ↑ Zweig, Jason. "Can You See the Future? Probably Better Than Professional Forecasters". The Wall Street Journal. Retrieved September 25, 2015. I think Philip Tetlock's "Superforecasting: The Art and Science of Prediction," ..., is the most important book on decision making since Daniel Kahneman's "Thinking, Fast and Slow."
- ↑ Frick, Walter. "Question Certainty". Harvard Business Review. Retrieved September 26, 2015.